LdaModel - random_state 参数无法识别 - gensim

Question

我正在使用 gensim 的 LdaModel，根据 documentation，它具有参数 random_state。但是，我收到一条错误消息：

 TypeError: __init__() got an unexpected keyword argument 'random_state'

没有 random_state 参数，该函数按预期工作。因此，对于那些想知道还发生了什么的人来说，工作流程看起来像这样...

from gensim import corpora, models
import numpy as np

# pseudo code of text pre-processing all on "comments" variable
# stop words
# remove punctuation (optional)
# keep alpha only
# stemming
# get bigrams and integrate with corpus (gensim makes this very easy)


dictionary = corpora.Dictionary(comments)
corpus = [dictionary.doc2bow(comm) for comm in comments]
tfidf = models.TfidfModel(corpus) # change weights
corp_tfidf = tfidf[corpus] # apply them to corpus

# set random seed
random_seed = 135
state = np.random.RandomState(random_seed)

# train model
num_topics = 3
lda_mod = models.LdaModel(corp_tfidf, # corpus
                          num_topics=num_topics, # number of topics we want back
                          id2word=dictionary, # our id-word map
                          passes=10, # how many passes to take over the data
                          random_state=state) # reproduce the results

这会导致上面的错误消息...

TypeError: __init__() got an unexpected keyword argument 'random_state'

如果可能的话，我希望能够重现我的结果。

Answer 1

根据this，在最新版本（0.13.2）中添加了random_state参数。您可以使用 pip install gensim --upgrade 更新您的 gensim 安装。您可能需要先更新 scipy，因为它给我带来了问题。